NDLI: Predicting discrete probability distribution of image emotions

Content Provider	IEEE Xplore Digital Library
Author	Sicheng Zhao Hongxun Yao Xiaolei Jiang Xiaoshuai Sun
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China (Sicheng Zhao; Hongxun Yao; Xiaolei Jiang; Xiaoshuai Sun)
Abstract	Most existing works on affective image classification tried to assign a dominant emotion category to an image. However, this is often insufficient, as the emotions that are evoked in viewers by an image are highly subjective and different. In this paper, we propose to predict the probability distribution of categorical image emotions. Firstly we extract commonly used features of different levels for each image. Then we formulize the emotion distribution prediction as a shared sparse leaning problem, which is optimized by iteratively reweighted least squares. Besides, we introduce three baseline algorithms. Experiments are carried out on a dataset of peer rated abstract paintings and the results demonstrate the superiority of our proposed method, as compared to some state-of-the-art approaches.
Starting Page	2459
Ending Page	2463
File Size	1069632
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Training Prediction algorithms Probability distribution Art Visualization Painting Sparse Learning Emotion Distribution Prediction Image Emotion
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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